空天智联网络指挥控制体系的韧性保障与评估方法-“空天地一体化智能网联专刊”

  • 李择昕 ,
  • 杨子鹏 ,
  • 杨峻一 ,
  • 张国洋 ,
  • 陈广伟 ,
  • 肖振宇
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  • 1. 北京航空航天大学
    2. 北京航空航天大学电子信息工程学院
    3. 桁翼(北京)科技有限责任公司

收稿日期: 2025-12-29

  修回日期: 2026-05-23

  网络出版日期: 2026-05-28

基金资助

国防基础科研计划基金资助项目

Resilience Enhancement and Evaluation Methods for Space-Air Integrated Intelligent Network Command and Control System

  • LI Ze-Xin ,
  • YANG Zi-Peng ,
  • YANG Jun-Yi ,
  • ZHANG Guo-Yang ,
  • CHEN Guang-Wei ,
  • XIAO Zhen-Yu
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Received date: 2025-12-29

  Revised date: 2026-05-23

  Online published: 2026-05-28

摘要

空天智联网络作为未来全域覆盖、智能协同的核心信息基础设施,在复杂环境中面临多重挑战。为了解决空天智联网络指挥控制体系的韧性保障与评估问题,首先构建了包含天基网络与空基网络的空天智联网络指挥控制体系模型,在此基础上提出了一种分阶段韧性保障框架,将韧性保障过程划分为抵御、吸收、恢复与重构四个阶段,并针对各阶段系统性地综述了相应的韧性保障方法。进一步,建立了空天智联网络指挥控制体系的韧性评估指标体系,提出了一种可实现权重场景化自适应配比的层次分析-自适应惯性权重粒子群优化组合方法,从抵御能力、吸收能力、恢复能力和重构能力四方面指标出发,计算得到系统总体的韧性评估结果,并设计仿真测试用于空天智联网络指挥控制体系韧性评估。

本文引用格式

李择昕 , 杨子鹏 , 杨峻一 , 张国洋 , 陈广伟 , 肖振宇 . 空天智联网络指挥控制体系的韧性保障与评估方法-“空天地一体化智能网联专刊”[J]. 航空学报, 0 : 1 -0 . DOI: 10.7527/S1000-6893.2026.33298

Abstract

As a core information infrastructure for future all-domain coverage and intelligent collaboration, the space-air integrated intelligent network faces multiple challenges in complex environments. To address the resilience enhancement and evaluation issues of the space-air integrated intelligent network command and control system, a system model incorporating space-based and air-based networks is first constructed. On this basis, a phased resilience enhancement framework is proposed, which divides the resilience enhancement process into four stages: resistance, absorption, recovery, and reconstruction. Systematic reviews of corresponding resilience enhancement methods for each stage are conducted. Furthermore, a resilience evaluation index system for the space-air integrated intelligent network command and control system is established, and a combination method of analytic hierarchy process and adaptive weight particle swarm optimization is proposed, which can achieve scenario-based adaptive weighting. Starting from four resilience dimensions—resistance capability, absorption capability, recovery capability, and reconstruction capability—the overall resilience evaluation results of the system are derived. Simulation tests are also designed to assess the resilience of the space-air integrated intelligent network command and control system.
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